Google Cloud Professional Machine Learning Engineer — Question 320

You are using Vertex AI to manage your ML models and datasets. You recently updated one of your models. You want to track and compare the new version with the previous one and incorporate dataset versioning. What should you do?

Answer options

• A. Use Vertex AI TensorBoard to visualize the training metrics of the new model version, and use Data Catalog to manage dataset versioning.
• B. Use Vertex AI Model Monitoring to monitor the performance of the new model version, and use Vertex AI Training to manage dataset versioning.
• C. Use Vertex AI Experiments to track and compare model artifacts and versions, and use Vertex ML Metadata to manage dataset versioning.
• D. Use Vertex AI Experiments to track and compare model artifacts and versions, and use Vertex AI managed datasets to manage dataset versioning.

Correct answer: D

Explanation

The correct answer is D because Vertex AI Experiments allows you to effectively track and compare different versions of model artifacts, while Vertex AI managed datasets provides a structured approach for managing dataset versioning. Options A and B do not focus on comparing model versions or managing datasets effectively. Option C incorrectly suggests using Vertex ML Metadata, which is not the best tool for dataset versioning in this context.